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Studying Cell Cycle-regulated Gene Expression by Two Complementary Cell Synchronization Protocols
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Controlled synchronization under information constraints.

Alexander L Fradkov1, Boris Andrievsky, Robin J Evans

  • 1Institute for Problems of Mechanical Engineering, Russian Academy of Sciences, 61, Bolshoy V. O. Avenue, 199178, Saint Petersburg, Russia. fradkov@mail.ru

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 15, 2008
PubMed
Summary
This summary is machine-generated.

Controlled synchronization systems with limited channel capacity can achieve synchronization using a coder-decoder scheme. Synchronization error bounds are directly related to transmission errors and inversely to channel capacity.

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Area of Science:

  • Control Systems Engineering
  • Information Theory
  • Nonlinear Dynamics

Background:

  • Controlled synchronization systems are crucial in various applications.
  • Information constraints in coupling channels pose significant challenges.
  • Existing frameworks may not fully address limited capacity scenarios.

Purpose of the Study:

  • To analyze controlled synchronization systems under information constraints.
  • To extend Fradkov's framework for limited capacity channels.
  • To propose and analyze a coder-decoder scheme for master-slave synchronization.

Main Methods:

  • Utilizing Fradkov's framework for observer-based and master-slave synchronization.
  • Developing a first-order coder-decoder scheme.
  • Applying output feedback control based on the passification method.
  • Theoretical analysis for Lurie-form systems and computer simulations.

Main Results:

  • The proposed framework is suitable for controlled master-slave synchronization via limited capacity channels.
  • Synchronization error bounds are proportional to transmission error bounds.
  • Error bounds are proportional to coupling signal rate and inversely to channel capacity.
  • Hyperminimum phase property is essential for controlled synchronization, unlike observer-based synchronization.

Conclusions:

  • A novel coder-decoder scheme enables controlled synchronization under information constraints.
  • The study provides theoretical bounds for synchronization error based on channel capacity.
  • The findings are validated using the chaotic Chua system, highlighting the importance of the hyperminimum phase condition.